ORIE 3500

ORIE 3500

Course information provided by the Courses of Study 2016-2017.

A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, and statistical methods are used to test and estimate parameters for these models. Specific topics include random variables, probability distributions, density functions, expectation and variance, multidimensional random variables, and important distributions including normal, Poisson, exponential, hypothesis testing, confidence intervals, and point estimation using maximum likelihood and the method of moments.

When Offered Fall, summer.

Prerequisites/Corequisites Prerequisite: ENGRD 2700 or equivalent.

View Enrollment Information

Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 5500

  • 4 Credits Graded

  •  1106 ORIE 3500   LEC 001

    • MTWRF Phillips Hall 307
    • May 25 - Jul 5, 2017
    • Patie, P

  • This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ss/courses/courses.php?v=1272

  •  1107 ORIE 3500   DIS 201